Text Network Analysis for Bias Detection in Discourse

From 35C3 Wiki

Description A quick intro on how text network analysis can be used to detect bias in discourse and to generate insight from any text.
Website(s) https://noduslabs.com/category/tutorials/
Type Talk
Kids session No
Keyword(s) software, network, security, safety
Tags analytics, text, TNA, text mining, analysis, discourse, bias, insight, networks, graphs, dataviz, visualization
Person organizing
Language en - English
en - English
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Starts at 2018/12/28 14:30
Ends at 2018/12/28 15:00
Duration 30 minutes
Location Room:Seminar room 14-15

Text network analysis and visualization is a great way to represent textual data in order to get a different perspective on it. This helps one gain a better understanding of the main topics within an ongoing discourse, their relation to one another, and whether there are any structural gaps in the graph — the place where the new potential ideas could emerge. Finally, knowing the discourse's structure can also help us identify the level of bias in discourse. I will demonstrate how this works using the open-source software http://infranodus.com — so you can use it too for your own projects or for any other types of textual data.